#定义获取多只股票函数: def get_stocks_data(stocklist,start,end): all_data={} for code in stocklist: all_data[code]=pro.daily(ts_code=code, start_date=start, end_date=end) return all_data #保存本地 def save_data(all_data): for code,data in all_data.items(): data.to_csv('c...
lowest = 2.5 # 网格最低价格 highest = 3.5 # 网格最高价格 parts = 20 # 网格数 start_value = 300.0 # 账户初始资金 timespan = 15 # 每15秒检测一次标的价格 wechat_reminder = 1 # 是否通过微信通知(1:是,0:否) mail_reminder = 0 # 是否通过邮件通知(1:是,0:否) mail_list = ['mailbo...
通过描述统计观察发现,delta_price1、delta_price2、lowestprice、customer_value_profit、ctrip_profits这几个变量最小值为负值,需要对其处理。同时,结合四分位和极值,发现有极大或极小的异常值,如decisionhabit_user、historyvisit_avghotelnum等,较多字段都存在异常值,对所有字段一并进行处理。 for col in ['delta_...
the return value is the same object. | | Method resolution order: | str | basestring | object | | Methods defined here: | | __add__(...) | x.__add__(y) <==> x+y | | __contains__(...) | x.__contains__(y) <==> y in x | | __eq__(...) | x.__eq__(y)...
def count(self, value): # real signature unknown; restored from __doc__ (用于统计某个元素在列表中出现的次数) """ L.count(value) -> integer -- return number of occurrences of value """ return 0 1. 2. 3. #!/usr/bin/python aList = [123, 'xyz', 'zara', 'abc', 123]; prin...
但是,由于 RNN 会顺序分析此信息,因此它将仅使用I grew up in…进行预测,而缺少句子中的其他关键上下文。 使用LSTM 可以部分解决这两个问题。 使用LSTM LSTM 是 RNN 的更高级版本,并包含两个额外的属性-更新门和遗忘门。 这两个附加项使易于网络学习长期依赖性。 考虑以下电影评论: 代码语言:javascript 代码...
查看是否成功安装ipython: pip list | grep ipython windows安装 安装python解析器和IDE环境PyCharm(社区版是免费的,但只提供python环境,没有Django等框架,专业版收费提供很多框架) https://www.python.org/downloads/windows/ https://www.jetbrains.com/pycharm/ ...
dict(**kwargs) -> new dictionary initialized with the name=value pairs in the keyword argument list. For example: dict(one=1, two=2)"""defclear(self):#real signature unknown; restored from __doc__"""清除内容"""D.clear() -> None. Remove all items from D."""passdefcopy(self):...
position (0th index), looking for the element you are searching for. When it finds the value - it returns the position and exits the system. However, this is not too efficient when going through a large list, and you need to get the position of something towards the end of the list....
(size=10) self.lowestPrice=1.1*self.dataclose[0] if __name__ == '__main__': # Get a pandas dataframe datapath='DataSetText/sz.000001_d.csv' # Simulate the header row isn't there if noheaders requested skiprows = 0 #skiprows是跳过第几行 header = 0 #header是第0行 #读取股票数据...